๐ช๐ต๐ฎ๐ ๐ฑ๐ผ๐ฒ๐ ๐ฎ ๐ง๐ฟ๐๐๐-๐ฅ๐ฒ๐ฎ๐ฑ๐ ๐๐ ๐ฎ๐ด๐ฒ๐ป๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐น๐ผ๐ผ๐ธ ๐น๐ถ๐ธ๐ฒ?
Five things that matter before you go into any investor demo, enterprise pilot, or accelerator cohort:
๐๐ฒ๐ถ๐ป๐ด ๐ง๐ฟ๐๐๐-๐ฅ๐ฒ๐ฎ๐ฑ๐ ๐ฑ๐ผ๐ฒ๐๐ป'๐ ๐บ๐ฒ๐ฎ๐ป ๐ฏ๐ฒ๐ถ๐ป๐ด ๐ฝ๐ฒ๐ฟ๐ณ๐ฒ๐ฐ๐.
It means being able to prove to an investor, to a buyer after production roll out, to enterprise team that you know what risks exist in your system and you've taken deliberate steps to address them
3. You know what data flows through the context window. PII, API responses, sensitive tool outputs, where does it go, who can see it?
4. Your tool permissions are scoped correctly. An agent that can write should not automatically be able to delete. Separate the permissions.
Three incidents that happened to real products:
The Rabbit R1 shipped with hardcoded API keys baked into the firmware.
Exposed at launch.
A Nigerian fintech's KYC process got bypassed through prompt manipulation. Real users, real consequences.
NYC's MyCity AI assistant was jailbroken within 48 hours of going live. On a government service.
None of these teams were careless.
They were fast.
Founders scan for bugs. They stress-test features. They QA the UI.
But they don't simulate what happens when someone actively tries to break the agent.
Which is a different problem.
When youโre a technical founder, you see security as code and configurations.
We make that process stupidly simple.
Founders can now prove AI product security from day 1.
Developer can now have security that runs in the background while you build.
โHow do I prove to investors that my AI product is secure without spending months or millions?โ
Last month, I got a message from a founder on LinkedIn who sounded tired.
Theyโd built this brilliant AI-powered healthcare assistant, the kind that could actually change lives.